Huadong Wu

864 total citations
15 papers, 602 citations indexed

About

Huadong Wu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Huadong Wu has authored 15 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Huadong Wu's work include Energy Efficient Wireless Sensor Networks (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Robotics and Automated Systems (3 papers). Huadong Wu is often cited by papers focused on Energy Efficient Wireless Sensor Networks (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Robotics and Automated Systems (3 papers). Huadong Wu collaborates with scholars based in United States, China and Germany. Huadong Wu's co-authors include Mel Siegel, Jie Yang, Rainer Stiefelhagen, P.K. Khosla, P.K. Khosla, Kai Yang, Jiaming Liu, Hui Cheng, Shiyan Wang and Tian Zhou and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Electronic Imaging and Figshare.

In The Last Decade

Huadong Wu

15 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Huadong Wu United States	11	202	170	150	149	86	15	602
Khairulmizam Samsudin Malaysia	17	275 1.4×	236 1.4×	47 0.3×	308 2.1×	118 1.4×	76	961
Ponciano Jorge Escamilla-Ambrosio Mexico	14	80 0.4×	143 0.8×	96 0.6×	110 0.7×	28 0.3×	51	604
Edwin Hou United States	14	135 0.7×	122 0.7×	29 0.2×	115 0.8×	31 0.4×	31	598
Henry O. Nyongesa United Kingdom	12	128 0.6×	265 1.6×	70 0.5×	63 0.4×	79 0.9×	43	697
Juan Li China	16	214 1.1×	88 0.5×	49 0.3×	164 1.1×	34 0.4×	129	961
Danilo Pau Italy	15	316 1.6×	188 1.1×	112 0.7×	158 1.1×	112 1.3×	125	844
Guang Jin China	16	43 0.2×	215 1.3×	103 0.7×	181 1.2×	33 0.4×	78	733
Jianchun Xing China	16	88 0.4×	101 0.6×	35 0.2×	162 1.1×	86 1.0×	76	679
Sheng Fu China	12	116 0.6×	118 0.7×	104 0.7×	38 0.3×	20 0.2×	41	509

Countries citing papers authored by Huadong Wu

Since Specialization

Citations

This map shows the geographic impact of Huadong Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huadong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huadong Wu more than expected).

Fields of papers citing papers by Huadong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huadong Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huadong Wu. The network helps show where Huadong Wu may publish in the future.

Co-authorship network of co-authors of Huadong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huadong Wu. A scholar is included among the top collaborators of Huadong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huadong Wu. Huadong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Wang, Shiyan, et al.. (2020). Image super resolution via nonlocal and second-order feature fusion network. Journal of Electronic Imaging. 29(2). 1–1. 2 indexed citations

2.

Wu, Huadong, et al.. (2020). Learning Affordance Space in Physical World for Vision-based Robotic Object Manipulation. 4652–4658. 10 indexed citations

3.

Yang, Kai, et al.. (2018). Domain centralization and cross-modal reinforcement learning for vision-based robotic manipulation. 1(1). 48–55. 2 indexed citations

4.

Wu, Huadong & Mel Siegel. (2004). Sensor data fusion for context-aware computing using dempster-shafer theory. 61 indexed citations

5.

Wu, Huadong, et al.. (2004). Sensor fusion using Dempster-Shafer theory II: static weighting and Kalman filter-like dynamic weighting. 2. 907–912. 27 indexed citations

6.

Siegel, Mel & Huadong Wu. (2004). Confidence fusion. 94–99. 7 indexed citations

7.

Wu, Huadong & Mel Siegel. (2003). Correlation of accelerometer and microphone data in the "coin tap test". 2. 814–819. 10 indexed citations

8.

Wu, Huadong, Mel Siegel, Rainer Stiefelhagen, & Jie Yang. (2003). Sensor fusion using Dempster-Shafer theory [for context-aware HCI]. 1. 7–12. 79 indexed citations

9.

Siegel, Mel & Huadong Wu. (2003). Objective evaluation of subjective decisions. 14–18. 4 indexed citations

10.

Wu, Huadong, et al.. (2003). Sensor fusion for context understanding. Figshare. 1. 13–17. 28 indexed citations

11.

Wu, Huadong, Mel Siegel, & P.K. Khosla. (2002). Vehicle sound signature recognition by frequency vector principal component analysis. 1. 429–434. 109 indexed citations

12.

Wu, Huadong & Mel Siegel. (2002). Odor-based incontinence sensor. 93. 63–68. 17 indexed citations

13.

Wu, Huadong, Mel Siegel, Rainer Stiefelhagen, & Jie Yang. (2002). Sensor Fusion Using Dempster-Shafer Theory. 120 indexed citations

14.

Wu, Huadong & Mel Siegel. (2000). Correlation of accelerometer and microphone data in the "coin tap test". IEEE Transactions on Instrumentation and Measurement. 49(3). 493–497. 53 indexed citations

15.

Wu, Huadong, Mel Siegel, & P.K. Khosla. (1999). Vehicle sound signature recognition by frequency vector principal component analysis. IEEE Transactions on Instrumentation and Measurement. 48(5). 1005–1009. 73 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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